{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from ggplot import *\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `scale_fill_brewer`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ggplot: (285868281)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ks7MzLS0tefGLX5z77rtvPGcDAICDNubA3bVrVzo6Okbe7ujoSE9Pz7gMBQAA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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110c386d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(mtcars, aes(x='factor(cyl)', fill='factor(vs)')) + geom_bar() + scale_fill_brewer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ggplot: (285636521)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TfrW1tZUeYdAmn3tTpUcYM+zNyrE3eTft7e3xwAMP2JsJGXLgTps2LXbs2BG7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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1106773d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(mtcars, aes(x='factor(cyl)', fill='factor(vs)')) + geom_bar() + scale_fill_brewer(type='div')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ggplot: (292043557)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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a7sH9bfr6+tLf31//E8Ehplqt1mXdlpaWuq09WpdV4dBib8L0MuHunDVrVnbu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\ndywYgQ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116832990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(mtcars, aes(x='factor(cyl)', fill='factor(vs)')) + geom_bar() + scale_fill_brewer(type='div', palette=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
